Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "166"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 166 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 43 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 41 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 166, Node N14:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2459858 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 19.232505 25.466315 -0.182007 0.149044 4.468529 3.008963 37.971752 62.046498 0.6569 0.5760 0.2966 2.602689 2.668181
2459857 RF_maintenance 0.00% 100.00% 100.00% 0.00% - - -0.441682 -0.516123 -0.270521 -0.668648 0.683653 -0.902649 -0.852261 -0.776398 0.0254 0.0255 0.0004 nan nan
2459856 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 32.149880 38.733835 0.864873 1.205443 3.782291 3.686472 26.787662 12.914007 0.6444 0.6049 0.2998 3.404006 3.434874
2459855 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 25.206816 17.014300 0.186640 0.044860 3.937317 6.707722 29.188223 15.512697 0.6510 0.6938 0.3881 3.369707 3.281774
2459854 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 26.847950 43.522089 0.461727 1.200457 5.850299 2.657130 15.795689 3.618381 0.6676 0.6598 0.3437 3.098738 2.696869
2459853 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 13.404899 14.974747 0.789713 1.167648 1.757914 7.718874 20.601202 38.605290 0.7161 0.6535 0.3831 4.238378 3.862068
2459852 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 11.632512 1.923118 -0.124625 1.501763 5.696469 6.311365 4.594624 3.279114 0.8005 0.8314 0.2188 7.105015 6.782440
2459851 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 9.896916 4.023044 1.249351 1.385797 4.332642 10.574818 5.439839 20.397056 0.7328 0.7235 0.3042 4.956540 4.181693
2459850 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 11.147264 15.727208 1.199048 0.968127 2.095449 9.467556 6.592502 24.074068 0.7254 0.7290 0.3143 2.920965 2.629599
2459849 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 39.454422 36.859576 4.058308 3.869230 5.595992 7.471874 24.179567 11.796414 0.6480 0.6603 0.2286 3.884567 3.645872
2459848 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 16.693124 34.602936 2.741712 2.288262 5.913942 12.142283 20.703731 15.008820 0.6928 0.6773 0.3052 3.930882 3.276270
2459847 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 19.474508 21.253446 2.029751 2.064237 9.219197 12.623608 47.089348 69.938740 0.6839 0.6337 0.3787 3.814036 3.559837
2459846 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 13.871343 14.699557 0.684197 0.968011 6.549962 9.127822 7.136997 0.783860 0.8106 0.5935 0.4555 5.817767 4.344015
2459845 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 44.360422 44.345930 3.588024 3.842704 9.225765 6.640936 44.860619 29.830850 0.6362 0.6420 0.2229 2.755086 1.343868
2459844 RF_maintenance 0.00% 100.00% 100.00% 0.00% - - 1.537942 -0.029899 1.756249 2.826198 1.156695 -0.483864 -1.304825 -1.828624 0.0251 0.0249 0.0004 nan nan
2459843 RF_maintenance 100.00% 1.20% 0.66% 0.00% 100.00% 0.00% 53.655329 48.278874 1.118307 0.926551 2.341965 3.353019 19.284733 19.233012 0.6239 0.6301 0.2079 3.827898 3.593036
2459842 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 23.134135 21.604831 0.028835 0.528504 -0.093401 -0.860142 2.874329 1.783218 0.6713 0.5690 0.1603 4.811298 4.959314
2459841 RF_maintenance 0.00% 100.00% 100.00% 0.00% - - 2.532898 0.021521 0.274080 1.022358 1.152493 -0.398436 -0.803762 -1.386077 0.0251 0.0248 0.0006 nan nan
2459840 RF_maintenance 100.00% 100.00% 100.00% 0.00% - - 601.511017 515.683738 266.964717 229.105877 6206.206686 4220.303591 14424.452539 9581.360193 0.0059 0.0185 0.0043 nan nan
2459839 RF_maintenance 0.00% - - - - - 0.028415 0.807625 -0.070174 1.746970 3.202418 2.225263 -1.429586 -1.795622 nan nan nan nan nan
2459838 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 29.483915 -0.371631 1.215543 0.815098 15.789644 1.801702 10.765433 0.229439 0.6781 0.7207 0.3820 0.000000 0.000000
2459836 RF_maintenance - 100.00% 100.00% 0.00% - - nan nan nan nan nan nan nan nan 0.0324 0.0352 0.0020 nan nan
2459835 RF_maintenance 0.00% 100.00% 100.00% 0.00% - - -0.133182 -0.562859 -0.452623 -0.534125 1.310154 -0.758677 -0.528190 -1.101743 0.0338 0.0417 0.0042 nan nan
2459833 RF_maintenance 0.00% 100.00% 100.00% 0.00% - - -0.595516 0.188572 -0.582563 -0.847443 1.142807 -0.796049 -0.598421 -0.933547 0.0304 0.0290 0.0004 nan nan
2459832 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 27.910167 0.814955 0.214942 0.869797 9.912954 5.166901 18.406995 18.636143 0.7345 0.5377 0.5036 4.490087 3.758556
2459831 RF_maintenance 0.00% 100.00% 100.00% 0.00% - - -1.104341 0.595095 0.002702 1.995587 1.684538 1.710479 -1.017855 -1.387865 0.0279 0.0270 0.0012 nan nan
2459830 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459829 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 52.275603 20.601806 1.323468 0.822722 8.884726 12.144342 7.799717 23.306692 0.6715 0.6309 0.3678 0.000000 0.000000
2459828 RF_maintenance 100.00% 100.00% 100.00% 0.00% 100.00% 0.00% nan nan inf inf nan nan nan nan nan nan nan 0.000000 0.000000
2459827 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 47.426892 39.752973 2.670510 2.085057 7.564730 6.335812 19.605778 39.679778 0.6427 0.5661 0.2348 5.484655 4.077335
2459826 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 26.412084 1.989937 1.397560 1.631485 11.329413 9.619445 10.401595 12.238303 0.7186 0.5883 0.4137 3.690963 2.786567
2459825 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 38.385079 25.393313 1.760350 0.732524 9.033796 7.761535 14.077906 25.104297 0.6762 0.4969 0.3374 0.000000 0.000000
2459824 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 16.985294 6.077601 1.032854 1.377538 4.250592 15.493780 5.755553 6.765107 0.6850 0.7288 0.3379 0.000000 0.000000
2459823 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 4.995590 0.856294 1.764239 2.398829 1.893604 1.380459 30.986309 3.074956 0.7433 0.6442 0.4544 0.000000 0.000000
2459822 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 16.140299 25.815336 0.496458 1.969943 15.775012 5.396251 121.295732 24.334034 0.7481 0.5380 0.3791 0.000000 0.000000
2459821 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 32.833125 25.123647 2.588886 1.568056 6.923516 4.116122 15.456505 9.579117 0.6818 0.5201 0.2916 8.069306 6.929661
2459820 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 34.514539 19.175874 1.501372 1.058256 24.291241 22.754287 34.419689 58.201622 0.7026 0.6382 0.3595 0.000000 0.000000
2459817 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 29.085880 15.201747 2.741573 0.583467 7.653620 6.373929 7.924228 6.080920 0.7062 0.6047 0.3508 1.024996 1.040990
2459816 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 9.351637 5.249843 0.305393 -0.098374 6.516220 21.634064 5.522271 13.524698 0.8293 0.5784 0.5493 6.039142 4.493477
2459815 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 9.411679 2.346895 -0.170019 1.477604 11.650244 4.174514 107.355495 9.002086 0.7648 0.6521 0.4732 6.748523 5.394765
2459814 RF_maintenance 0.00% - - - - - nan nan nan nan nan nan nan nan nan nan nan nan nan
2459813 RF_maintenance 100.00% 0.00% 0.00% 0.00% 100.00% 0.00% 36.344164 44.584694 0.480211 0.844392 26.541187 23.848053 23.133991 5.170211 0.7195 0.6060 0.3369 0.000000 0.000000

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 166: 2459858

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance nn Temporal Discontinuties 62.046498 25.466315 19.232505 0.149044 -0.182007 3.008963 4.468529 62.046498 37.971752

Antenna 166: 2459857

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance ee Temporal Variability 0.683653 -0.516123 -0.441682 -0.668648 -0.270521 -0.902649 0.683653 -0.776398 -0.852261

Antenna 166: 2459856

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance nn Shape 38.733835 32.149880 38.733835 0.864873 1.205443 3.782291 3.686472 26.787662 12.914007

Antenna 166: 2459855

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance ee Temporal Discontinuties 29.188223 17.014300 25.206816 0.044860 0.186640 6.707722 3.937317 15.512697 29.188223

Antenna 166: 2459854

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance nn Shape 43.522089 43.522089 26.847950 1.200457 0.461727 2.657130 5.850299 3.618381 15.795689

Antenna 166: 2459853

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance nn Temporal Discontinuties 38.605290 14.974747 13.404899 1.167648 0.789713 7.718874 1.757914 38.605290 20.601202

Antenna 166: 2459852

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance ee Shape 11.632512 11.632512 1.923118 -0.124625 1.501763 5.696469 6.311365 4.594624 3.279114

Antenna 166: 2459851

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance nn Temporal Discontinuties 20.397056 9.896916 4.023044 1.249351 1.385797 4.332642 10.574818 5.439839 20.397056

Antenna 166: 2459850

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance nn Temporal Discontinuties 24.074068 11.147264 15.727208 1.199048 0.968127 2.095449 9.467556 6.592502 24.074068

Antenna 166: 2459849

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance ee Shape 39.454422 39.454422 36.859576 4.058308 3.869230 5.595992 7.471874 24.179567 11.796414

Antenna 166: 2459848

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance nn Shape 34.602936 34.602936 16.693124 2.288262 2.741712 12.142283 5.913942 15.008820 20.703731

Antenna 166: 2459847

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance nn Temporal Discontinuties 69.938740 21.253446 19.474508 2.064237 2.029751 12.623608 9.219197 69.938740 47.089348

Antenna 166: 2459846

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance nn Shape 14.699557 13.871343 14.699557 0.684197 0.968011 6.549962 9.127822 7.136997 0.783860

Antenna 166: 2459845

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance ee Temporal Discontinuties 44.860619 44.345930 44.360422 3.842704 3.588024 6.640936 9.225765 29.830850 44.860619

Antenna 166: 2459844

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance nn Power 2.826198 1.537942 -0.029899 1.756249 2.826198 1.156695 -0.483864 -1.304825 -1.828624

Antenna 166: 2459843

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance ee Shape 53.655329 48.278874 53.655329 0.926551 1.118307 3.353019 2.341965 19.233012 19.284733

Antenna 166: 2459842

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance ee Shape 23.134135 23.134135 21.604831 0.028835 0.528504 -0.093401 -0.860142 2.874329 1.783218

Antenna 166: 2459841

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance ee Shape 2.532898 2.532898 0.021521 0.274080 1.022358 1.152493 -0.398436 -0.803762 -1.386077

Antenna 166: 2459840

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance ee Temporal Discontinuties 14424.452539 601.511017 515.683738 266.964717 229.105877 6206.206686 4220.303591 14424.452539 9581.360193

Antenna 166: 2459839

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance ee Temporal Variability 3.202418 0.807625 0.028415 1.746970 -0.070174 2.225263 3.202418 -1.795622 -1.429586

Antenna 166: 2459838

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance ee Shape 29.483915 -0.371631 29.483915 0.815098 1.215543 1.801702 15.789644 0.229439 10.765433

Antenna 166: 2459835

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance ee Temporal Variability 1.310154 -0.562859 -0.133182 -0.534125 -0.452623 -0.758677 1.310154 -1.101743 -0.528190

Antenna 166: 2459833

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance ee Temporal Variability 1.142807 0.188572 -0.595516 -0.847443 -0.582563 -0.796049 1.142807 -0.933547 -0.598421

Antenna 166: 2459832

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance ee Shape 27.910167 27.910167 0.814955 0.214942 0.869797 9.912954 5.166901 18.406995 18.636143

Antenna 166: 2459831

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance nn Power 1.995587 -1.104341 0.595095 0.002702 1.995587 1.684538 1.710479 -1.017855 -1.387865

Antenna 166: 2459830

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance ee Shape nan nan nan inf inf nan nan nan nan

Antenna 166: 2459829

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance ee Shape 52.275603 20.601806 52.275603 0.822722 1.323468 12.144342 8.884726 23.306692 7.799717

Antenna 166: 2459828

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance nn Shape nan nan nan inf inf nan nan nan nan

Antenna 166: 2459827

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance ee Shape 47.426892 47.426892 39.752973 2.670510 2.085057 7.564730 6.335812 19.605778 39.679778

Antenna 166: 2459826

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance ee Shape 26.412084 1.989937 26.412084 1.631485 1.397560 9.619445 11.329413 12.238303 10.401595

Antenna 166: 2459825

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance ee Shape 38.385079 25.393313 38.385079 0.732524 1.760350 7.761535 9.033796 25.104297 14.077906

Antenna 166: 2459824

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance ee Shape 16.985294 16.985294 6.077601 1.032854 1.377538 4.250592 15.493780 5.755553 6.765107

Antenna 166: 2459823

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance ee Temporal Discontinuties 30.986309 0.856294 4.995590 2.398829 1.764239 1.380459 1.893604 3.074956 30.986309

Antenna 166: 2459822

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance ee Temporal Discontinuties 121.295732 16.140299 25.815336 0.496458 1.969943 15.775012 5.396251 121.295732 24.334034

Antenna 166: 2459821

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance ee Shape 32.833125 25.123647 32.833125 1.568056 2.588886 4.116122 6.923516 9.579117 15.456505

Antenna 166: 2459820

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance nn Temporal Discontinuties 58.201622 34.514539 19.175874 1.501372 1.058256 24.291241 22.754287 34.419689 58.201622

Antenna 166: 2459817

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance ee Shape 29.085880 29.085880 15.201747 2.741573 0.583467 7.653620 6.373929 7.924228 6.080920

Antenna 166: 2459816

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance nn Temporal Variability 21.634064 5.249843 9.351637 -0.098374 0.305393 21.634064 6.516220 13.524698 5.522271

Antenna 166: 2459815

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance ee Temporal Discontinuties 107.355495 2.346895 9.411679 1.477604 -0.170019 4.174514 11.650244 9.002086 107.355495

Antenna 166: 2459814

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance nn Shape nan nan nan nan nan nan nan nan nan

Antenna 166: 2459813

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
166 N14 RF_maintenance nn Shape 44.584694 44.584694 36.344164 0.844392 0.480211 23.848053 26.541187 5.170211 23.133991
In [ ]: